AI Governance Manager

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About The Role

Not just another entry level career opportunity: receive coaching, mentorship, and support at every step of your career journey. We invest in you so you can thrive and succeed.

Launch your tech career with FDM – any degree welcomed

Your degree got you here, your passion can take you further. Start a tech career that’s both dynamic and impactful. As an FDM Consultant, you’ll get the chance to work with global companies across banking, consulting, retail, insurance, and more. You’ll add big names to your resume and gain hands-on experience from day one.

Serving a wide variety of industries, we can offer our consultants a career path in their most suited field. We help you develop and build on your strengths, behaviors, knowledge, and ability with hands-on, industry relevant coaching, and place you on assignments with leading global companies.

We match your strengths to the right role.

The role will support two core AI governance pillars:

1. Self-Service AI, enabling employees and business teams to safely adopt approved AI capabilities within defined governance guardrails.
2. Enterprise Agentic Build Processes, embedding governance, security, assurance and Responsible AI requirements into the design, development, testing, deployment and operation of enterprise AI agents and AI-enabled solutions.

Key Responsibilities

• Implement and continually mature the AI governance framework across Self-Service AI and Enterprise Agentic Delivery capabilities.
• Translate governance requirements into practical controls, standards, templates, guardrails and implementation patterns that can be consistently applied across AI platforms and solutions.
• Work alongside AI developers and platform teams to embed governance requirements into development standards, solution lifecycle processes and deployment practices.
• Support the implementation of Responsible AI, security, privacy and data governance requirements across AI solutions and platforms.
• Support the implementation and ongoing operation of governance processes covering AI solution intake, risk assessment, approvals, monitoring and periodic review.
• Implement reporting and monitoring capabilities that provide visibility of AI adoption, compliance, risk, usage and cost transparency.
• Under the direction of the AI Governance Lead, work with Security, Privacy, Legal, Architecture, Data Governance and Engineering teams to implement and maintain approved AI governance controls, standards and processes.
• Provide practical guidance and support to business and engineering teams adopting AI capabilities.
• Maintain governance artefacts, records, standards and supporting documentation required to demonstrate compliance and operational effectiveness.
• Identify opportunities to improve governance processes, controls, tooling and adoption as AI capabilities mature across the organization.